Léa is torn between two recipes: how Panelia settled it in 10 minutes
By The Panelia team3 min read
Léa is launching a sparkling drink and can't choose between two recipes. Before ordering 10,000 cans, she tests both concepts on Panelia. Here's what she learned.
Léa runs a small brand of functional sparkling drinks. After six months of R&D, she has two recipes: a punchy "citrus-ginger" and a softer "peach-verbena." The lab is ready, the factory is waiting for the green light. One €30,000 question remains: which one to launch?
The "I just know it's the one" trap
Léa loves the ginger version. But her gut isn't the market. A classic consumer study was quoted at €9,000 and six weeks — impossible before her launch window. Without data, she risked producing 10,000 cans of the wrong recipe.
What she did on Panelia
Léa describes her two concepts in a few sentences — name, promise, price (€2.90), target "urban 25-40s who care about their energy." In a few minutes, Panelia simulates 500 synthetic respondents on her market and rates their purchase intent on a 1-to-5 scale.
The report comes back:
- Peach-verbena: average intent 3.6/5, top-2 box 47%.
- Citrus-ginger: 3.1/5, top-2 box 34%.
More importantly, the verbatims explain the gap: the ginger "stings too much" for part of the target, while the peach reads as "refreshing and easy to fit into a daily routine." One segment is still very keen on ginger, though: sporty 25-30s.
The gain
Léa launched peach-verbena first, and kept ginger as a limited edition for the segment that loved it. Cost of the test: a few euros of credits. Time: a coffee break. She didn't prove the product would succeed — no study does — but she avoided betting big on her personal favorite, and entered production with figures to back her pitch to distributors.
Takeaway: before committing a production budget, a synthetic concept test turns a gamble into a documented decision. It's not absolute truth; it's a strong signal, obtained before it gets expensive.